一种基于卡尔曼滤波和序贯概率比检验的空气弹簧泄漏故障预警方法
杨俊薛明晨祁成
An Early Warning Method for Air Spring Leakage Fault Based on Kalman Filter and SPRT
YANG JunXUE MingchenQI Cheng
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作者信息:南京中车浦镇海泰制动设备有限公司， 211899， 南京
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Affiliation:Nanjing CRRC Puzhen Haitai Brake Equipment Co., Ltd., 211899, Nanjing, China
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关键词:
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Key words:
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DOI:10.16037/j.1007-869x.2022.07.013
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中图分类号/CLCN:U270.331+.4
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栏目/Col:研究报告
摘要:
为了解决城市轨道交通车辆空气弹簧系统故障检测困难的问题，提出了一种基于卡尔曼滤波和序贯概率比检验的空气弹簧故障预警方法。该方法首先将空气弹簧压力进行滤波处理，得到当前时刻的新息。然后采用序贯概率比检验判断当前时刻新息是否有故障，若新息有故障，则所提算法将报出空气弹簧系统故障；若无故障或不满足序贯概率比检验作出判断的条件，则循环进行下一时刻的判断。最后通过对地铁运营车辆采集的数据进行计算，以验证该算法的有效性。该方法可用于空气弹簧系统相关部件的故障检测，并具有故障提前预警的功能，进而增加空气弹簧系统的可靠性。
Abstracts:
In order to solve the problem of air spring system fault detection difficulty of urban rail transit vehicles, an early-warning method based on Kalman filtering and SPRT (sequential probability ratio test) is proposed. The method first filters the air spring pressure to obtain current information; then, the SPRT is used to determine whether the current information is faulty. If a fault occurs, the proposed algorithm reports air spring system fault; if there is no fault or the conditions for the judgment of the SPRT are not met, then the judgment is carried out at the next moment cyclically. Finally, the effectiveness of the proposed algorithm is verified from the data collected by the operating metro vehicles. This method can be used for air spring system related component fault detection and early-warning, so that reliability of the system is increased.
引文 / Ref:
杨俊，薛明晨，祁成.一种基于卡尔曼滤波和序贯概率比检验的空气弹簧泄漏故障预警方法[J].城市轨道交通研究，2022，25（7）：60.
YANG Jun，XUE Mingchen，QI Cheng.An Early Warning Method for Air Spring Leakage Fault Based on Kalman Filter and SPRT[J].Urban mass transit，2022，25（7）：60.
YANG Jun，XUE Mingchen，QI Cheng.An Early Warning Method for Air Spring Leakage Fault Based on Kalman Filter and SPRT[J].Urban mass transit，2022，25（7）：60.
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